ADVOCATE. CONNECT. INNOVATE.

Bulletin, Institute

Introducing the Spring 2018 FAST Companies

Six life science startups, vetted and selected by a distinguished review panel, have been selected for CLSI’s Spring 2018 Fellows All-Star Team (FAST) Advisory Program. The Spring 2018 FAST companies are: Abalone Bio, developing functional antibody therapeutics that block or activate membrane protein using proprietary Functional Antibody Selection Technology platform; Antibiotic Adjuvant, developing AI-empowered decision support delivered at the point of prescription to reduce and prevent antibiotic resistance; Atropos Therapeutics, developing an optimized combination therapy for cancer and novel therapeutics for aging based on cellular senescence; C. Light Technologies, developing an ultra-precision retinal eye-tracking device to empower doctors to detect neurodeficits; Melio, developing a rapid broad-based platform for pathogen profiling for sepsis in newborns; Valley Fever Solutions, developing a first in class new antifungal to treat valley fever.

 Each company founder will be paired with a team of 10 to 12 advisors who will meet with them over 12 weeks for one-hour advisory sessions. These meetings culminate in a final FAST Showcase in June to a broad audience of industry professionals, entrepreneurs and potential investors.

Halfway through its fifth year, FAST was developed to help some of the most innovative young life science companies FAST-track their way to funding and success. FAST’s 50 company graduates have received over 5500 advisory hours valued at over $1,200,000, have collectively raised $317 million and created 240 new jobs since their participation in FAST.

The FAST program draws on a high-level team of serial entrepreneurs, researchers, investors and business advisors with expertise in clinical development, regulatory, reimbursement, relevant technical R&D, finance, marketing and business development. The teams provide FAST entrepreneurs with intensive team review and coaching to perfect their business model and develop a compelling commercialization strategy.